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Pemodelan Sistem Kendali Motor Induksi Tiga Fasa menggunakan Pengendali Neuro-Fuzzy Melalui Metode Direct Torque Control SUDA, KADEK REDA SETIAWAN; PURWANTO, ERA; SUMANTRI, BAMBANG; MUNTASHIR, ABDILLAH AZIZ; HENDRA, R. OKTAV YAMA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 4: Published October 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i4.888

Abstract

ABSTRAKSuatu Motor induksi tiga fasa merupakan alat penggerak listrik yang banyak digunakan di industry. Sistem yang akan dikembangkan dalam penelitian ini salah satunya adalah pengendalian kecepatan motor induksi tiga fasa dengan pemodelan system Direct Torque Control (DTC) dengan pengontrol kecepatan menggunakan Neuro-Fuzzy Controller, hasil yang diperoleh dari pengaturan kecepatan yaitu untuk mencapai keaadan steady hanya membutuhkan waktu 1 sampai 2 sekon dengan rata-rata eror steady 0,175% dengan rata-rata rise time 0,855 detik dan rata-rata overshoot 0,488%. Dengan pemodelan system Direct Torque Control (DTC) menggunakan Neuro-Fuzzy control ini mampu mengatasi kelemahan pada kecepatan motor induksi serta menghasilkan performa kendali yang tinggi, dengan memperkecil overshoot serta menurunkan presentase error steady state dibawah 1%, serta rise time dan settling time rata-rata di bawah 1 detik, sehingga jauh lebih baik dibandingkan dengan menggunakan PI controller.Kata kunci: DTC, Motor Induksi, Neuro-Fuzzy ABSTRACTA three-phase induction motor is an electric drive that is widely used in industry. One of the systems that will be developed in this research is the speed control of a three-phase induction motor by modeling the Direct Torque Control (DTC) system with a speed controller using a Neuro-Fuzzy Controller, the results obtained from speed regulation are that to achieve steady state it only takes 1 to 2 hours. 2 seconds with an average steady error of 0.175% with an average rise time of 0.855 seconds and an average overshoot of 0.488%. By modeling the Direct Torque Control (DTC) system using Neuro-Fuzzy control, it is able to overcome the weakness in the speed of the induction motor and produce high control performance, by reducing overshoot and reducing the steady state error percentage below 1%, as well as the average rise time and settling time. the average is under 1 second, so it is much better than using a PI controllerKeywords: DTC, Induction Motor, Neuro-Fuzzy
Kendali Motor Stepper pada Fast Shot & Slow Shot Valve Die Casting Machine Menggunakan PLC Omron Muntashir, Abdillah Aziz; Rizky, Muhammad Ario; Nugroho, Muhammad Samhadi
JURNAL INTEGRASI Vol. 15 No. 2 (2023): Jurnal Integrasi - Oktober 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i2.6506

Abstract

In producing a product in the industry, it is necessary to pass a series of processes, one of which is in the printing process or die casting. After installation of casting molds (Fix Dies & Moving Dies), it is necessary to set the fast shot & slow shot valve rotation to determine the amount that pushes the molten liquid into the mold, so the casting machine is ready to use. At this time the Fast Shot & Slow Shot Valve setting process is still done manually (conventional), the technician must make a rotation manually and only look at the value of the needle available on the knob, therefore we need a modification on the control system that can facilitate in doing setting the valve. By using the Stepper motor Nema 17 as the output of the Omron CP1L-M30DT-D PLC and also using Encoder E6B2-CWZ6C as an input that has been calibrated, so that the round reading can be seen in HMI Omron NB7W-TW00B. Obtained a fast cycle time results, namely in moving 1 round of knob, it takes 0.6 seconds.